gql VS genqlient

An example of a Snowflake API request using Python. This example uses Python’s built-in urllib.request library for issuing the GraphQL request, so it doesn’t require additional dependencies; however, in production, you could use a library like gql for stronger typing.

As the maintainer of graphql-python/gql, I am disappointed it is not on the list... or did you want to restrict it to Javascript GraphQL clients only?

You should take a look at graphql-python/gql and its websockets transport

But did you consider using graphql-python/gql.

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You can use a package named gql https://github.com/graphql-python/gql . The only thing you need to do is create a client and use it to send your queries and mutations.

The client support in particular is currently very awkward. For instance, there's this discussion around Hasura in the Khan/genqlient repo: https://github.com/Khan/genqlient/issues/272

An example of a Snowflake API request using Go. This example uses the Go standard library, so it doesn’t require additional dependencies; however, in production, you could use a library like shurcooL/graphql or Khan/genqlient for stronger typing.

I also use https://github.com/Khan/genqlient in tandam with it to generate strongly typed graphql clients. Here is a decent example of a golang CLI using it: https://github.com/superfly/flyctl/tree/master/gql

You might also be interested in genqlient, which Khan Academy released earlier this year. It's closer to what you've done, though I don't think we support uploads because that isn't something we've needed to support.

If you want to just generate a client based on a schema, I highly recommend https://github.com/Khan/genqlient which we use at work.

Although it is supposedly not ready for production, I'm personally using https://github.com/Khan/genqlient from the Khan Academy folks.